Artikel

An experimental analysis of overconfidence in tariff choice

Consumers regularly have to choose between a pay-per-use and a flat-rate option. Due to the increasing number and range of (digital) services, the frequency at which consumers have to make tariff-choice decisions to use these services has become even more prevalent. Prior work has demonstrated that consumers’ tariff choices are often systematically biased and identified overconfidence as one of the key drivers. Yet, prior research is non-experimental and focused on the so-called flat-rate bias. By contrast, we examine the effects of overconfidence on the choice between a pay-per-use and a flat-rate option using an experimental approach. We develop an incentive-compatible experiment to provide causal evidence for the effect of overconfidence on tariff-choice decisions. We find that overconfident (underconfident) consumers underestimate (overestimate) their actual usage, which leads them to choose a pay-per-use (flat-rate) option relatively more frequently. Based on the results, we discuss theoretical and managerial implications as well as avenues for future research.

Language
Englisch

Bibliographic citation
Journal: Review of Managerial Science ; ISSN: 1863-6691 ; Volume: 15 ; Year: 2020 ; Issue: 8 ; Pages: 2275-2297 ; Berlin, Heidelberg: Springer

Classification
Management
Marketing
Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡
Consumer Economics: Empirical Analysis
Expectations; Speculations
Design of Experiments: General
Subject
Overconfidence
Tariff choice
Pay-per-use
Flat-rate
Experiment

Event
Geistige Schöpfung
(who)
Dowling, Katharina
Stich, Lucas
Spann, Martin
Event
Veröffentlichung
(who)
Springer
(where)
Berlin, Heidelberg
(when)
2020

DOI
doi:10.1007/s11846-020-00425-w
Last update
10.03.2025, 11:42 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Dowling, Katharina
  • Stich, Lucas
  • Spann, Martin
  • Springer

Time of origin

  • 2020

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